Compare Columbus to Astec, Shyft, AGCO, Rev, Gencor, Manitowoc

Comparing Columbus to Astec, Shyft, AGCO, Rev, Gencor, Manitowoc can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.

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Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.

	CMCO	ASTE	SHYF	AGCO	REVG	GENC	MTW
CMCO		0.69	0.43	0.17	0.61	0.84	0.69	CMCO
ASTE	0.69		0.88	-0.29	0.76	0.8	0.79	ASTE
SHYF	0.43	0.88		-0.49	0.68	0.56	0.66	SHYF
AGCO	0.17	-0.29	-0.49		-0.17	0.15	-0.04	AGCO
REVG	0.61	0.76	0.68	-0.17		0.64	0.8	REVG
GENC	0.84	0.8	0.56	0.15	0.64		0.71	GENC
MTW	0.69	0.79	0.66	-0.04	0.8	0.71		MTW
	CMCO	ASTE	SHYF	AGCO	REVG	GENC	MTW

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High positive correlations

SHYF	+ 0.88	ASTE
GENC	+ 0.84	CMCO
GENC	+ 0.8	ASTE
MTW	+ 0.8	REVG
MTW	+ 0.79	ASTE
REVG	+ 0.76	ASTE

High negative correlations

AGCO	- 0.49	SHYF
AGCO	- 0.29	ASTE
REVG	- 0.17	AGCO
MTW	- 0.04	AGCO

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
CMCO	1.70	0.14	0.03	1.01	1.66	(1.92)	3.87	(2.55)	9.88
ASTE	1.63	(0.16)	0.00	0.04	1.68	(2.08)	2.89	(2.45)	16.80
SHYF	1.87	(0.25)	0.00	(0.02)	0.00	0.00	3.93	(4.64)	11.33
AGCO	1.36	0.13	0.01	(1.01)	1.98	(1.33)	2.45	(2.75)	10.25
REVG	2.18	(0.04)	(0.04)	(0.01)	2.70	(2.91)	6.03	(4.30)	15.31
GENC	1.44	(0.09)	(0.01)	0.05	1.69	(1.66)	3.56	(3.52)	12.08
MTW	2.33	0.09	0.00	0.72	2.65	(2.87)	5.49	(4.10)	19.29

Unable to evaluate fundamental data of [CMCO, ASTE, SHYF, AGCO, REVG, GENC, MTW] at this time. Please try again later

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Competitive Analysis

Better Than Average

Worse Than Peers

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	CMCO	ASTE	SHYF	AGCO	REVG	GENC	MTW
	3.14 37.14 Columbus	0.03 35.99 Astec	0.60 13.42 Shyft	5.95 97.45 AGCO	2.09 29.82 Rev	0.70 21.33 Gencor	5.49 10.57 Manitowoc
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Not too volatile	Very steady	Not too volatile	Very steady	Somewhat reliable
Market Performance (90 Days Performance)	Modest	Insignificant	Very Weak	Modest	Very Weak	Insignificant	Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Below Average	Low	Low	Low	Below Average
Current Valuation (Equity Enterprise Value)	Over Valued	Fairly Valued	Fairly Valued	Over Valued	Over Valued	Fairly Valued	Over Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Cautious Hold	Strong Hold	Cautious Hold	Strong Sell	Strong Sell	Hold	Strong Sell
Current Ratio	2.07 X	2.42 X	1.76 X	1.58 X	1.52 X	11.32 X	1.74 X
Net Asset	1.83 B	1.06 B	530.05 M	11.42 B	1.41 B	195.75 M	1.71 B
Profit Margin	0.02 %	(0) %	(0) %	0.01 %	0.1 %	0.14 %	(0) %
EBITDA	158.29 M	116.9 M	24.18 M	1.7 B	125.3 M	16.26 M	168.7 M
Operating Margin	(0.05) %	0.03 %	0.03 %	0.05 %	0.06 %	0.08 %	0.02 %
Current Valuation	1.48 B	873.34 M	625.81 M	10.38 B	1.72 B	196.48 M	841.83 M
Price To Book	1.15 X	1.30 X	1.83 X	1.65 X	3.85 X	1.61 X	0.58 X
Retained Earnings	395.33 M	549.4 M	158.46 M	6.36 B	52.7 M	167.53 M	143.5 M
Current Asset	272.73 M	541.8 M	N/A	2.9 B	662.35 M	123.42 M	647.16 M
Five Year Return	0.58 %	0.96 %	0.63 %	0.81 %	1.51 %	N/A	3.80 %
Beta	1.19	1.26	1.62	1.25	1.55	0.4	1.85
Number Of Employees	3.52 K	4.32 K	3 K	27.9 K	6.72 K	314	4.8 K
Shares Outstanding	28.69 M	22.8 M	34.49 M	74.65 M	52 M	12.34 M	35.13 M
Cash Flow From Operations	67.2 M	27.8 M	56.24 M	1.1 B	126.5 M	10.2 M	63 M
Annual Yield	0.01 %	0.01 %	0.01 %	0.01 %	0.01 %	N/A	N/A
Total Debt	599.62 M	83.1 M	132.37 M	1.53 B	187.4 M	328 K	419.3 M
Return On Equity	0.0173	-0.0032	-0.0149	0.0378	0.57	0.0869	-0.0149
Return On Asset	0.0224	0.0437	8.0E-4	0.0556	0.0573	0.0483	0.023
Number Of Shares Shorted	399.39 K	377.99 K	1.32 M	3.38 M	2.84 M	21.03 K	751.03 K
Book Value Per Share	31.36 X	27.69 X	7.33 X	55.58 X	7.59 X	13.28 X	17.30 X
Current Liabilities	132.52 M	142.01 M	N/A	2.19 B	338.55 M	8.19 M	460.4 M
Total Asset	1.83 B	1.06 B	530.05 M	11.42 B	1.41 B	195.75 M	1.71 B
Debt To Equity	0.63 %	0.01 %	0.58 %	0.67 %	0.60 %	0 %	0.64 %
Short Ratio	1.88 X	2.94 X	5.02 X	5.33 X	5.31 X	3.20 X	3.03 X
Target Price	49.0	42.5	16.0	104.0	29.88	19.0	12.45
Last Dividend Paid	0.28	0.52	0.2	1.16	0.2	N/A	N/A
Shares Owned By Institutions	98.43 %	96.63 %	89.20 %	85.50 %	97.63 %	59.41 %	78.76 %
Market Capitalization	1.03 B	820.86 M	462.92 M	6.87 B	1.52 B	314.85 M	351.97 M
Price To Earning	85.88 X	21.22 X	15.13 X	11.73 X	17.42 X	65.72 X	24.38 X
Price To Earnings To Growth	0.46 X	2.60 X	1.33 X	0.61 X	0.95 X	N/A	1.64 X
Price To Sales	1.03 X	0.64 X	0.59 X	0.55 X	0.61 X	2.76 X	0.16 X
Net Income	46.62 M	33.7 M	6.46 M	1.17 B	45.3 M	14.67 M	39.2 M
Earnings Per Share	0.52 X	(0.09) X	(0.10) X	2.26 X	4.42 X	1.10 X	(0.25) X
Shares Owned By Insiders	2.39 %	1.32 %	9.45 %	16.80 %	2.37 %	17.22 %	3.28 %
Revenue	1.01 B	1.34 B	872.2 M	14.41 B	2.64 B	105.08 M	2.23 B
Working Capital	252.39 M	420.5 M	104.1 M	2 B	376 M	164.79 M	469.7 M
Cash And Equivalents	88.86 M	56.4 M	2.86 M	607 M	14.8 M	110.59 M	64.4 M
Cash Per Share	3.11 X	2.47 X	0.08 X	8.14 X	0.25 X	7.55 X	1.21 X
Gross Profit	319.23 M	264.1 M	180.43 M	3 B	316.1 M	20.54 M	364.5 M
Day Typical Price	36.8	35.8	13.32	96.28	29.72	21.33	10.42
Accumulation Distribution	0.0309	0.0172	0.0238	0.0682	0.0266	0.0158	0.0546
Market Facilitation Index	1.15	0.62	0.32	6.76	0.8	0.34	0.58
Daily Balance Of Power	0.9826	(0.02)	0.25	0.8092	0.7625	(0.44)	0.9483
Period Momentum Indicator	1.13	(0.01)	0.08	5.47	0.61	(0.15)	0.55
Rate Of Daily Change	1.03	1.0	1.01	1.06	1.02	0.99	1.05
Day Median Price	36.64	35.71	13.27	95.69	29.67	21.33	10.34
Price Action Indicator	1.07	0.28	0.19	4.5	0.46	(0.07)	0.5
Relative Strength Index	58.97	56.84	50.55	54.27	52.14	54.05	53.55
Coefficient Of Variation	1362.09	2537.31	(7,590)	1526.63	40921.05	2158.97	3228.98
Mean Deviation	1.7	1.63	1.87	1.36	2.18	1.44	2.33
Jensen Alpha	0.1436	(0.16)	(0.25)	0.1295	(0.04)	(0.09)	0.086
Total Risk Alpha	(0.14)	(0.24)	(0.38)	(0.14)	(0.39)	(0.18)	(0.36)
Sortino Ratio	0.0329	(0)	N/A	0.0083	(0.04)	(0.01)	1.0E-4
Downside Variance	3.31	3.11	N/A	4.86	8.15	3.35	8.0
Standard Deviation	2.31	2.55	2.57	1.95	2.98	2.06	3.55
Kurtosis	2.36	15.08	1.09	4.32	2.24	3.38	5.58
Potential Upside	3.87	2.89	3.93	2.45	6.03	3.56	5.49
Treynor Ratio	1.01	0.0364	(0.02)	(1.01)	(0.01)	0.0487	0.7175
Maximum Drawdown	9.88	16.8	11.33	10.25	15.31	12.08	19.29
Variance	5.32	6.52	6.58	3.81	8.86	4.23	12.57
Market Risk Adjusted Performance	1.02	0.0464	(0.01)	(1.00)	0.0019	0.0587	0.7275
Risk Adjusted Performance	0.0627	0.0371	(0)	0.0561	0.0093	0.0416	0.0315
Skewness	1.25	2.76	0.4321	(0.59)	(0.39)	0.8905	1.3
Semi Deviation	1.66	1.68	N/A	1.98	2.7	1.69	2.65
Information Ratio	0.0259	(0)	(0.06)	0.0094	(0.03)	(0.01)	1.0E-4
Value At Risk	(2.55)	(2.45)	(4.64)	(2.75)	(4.30)	(3.52)	(4.10)
Expected Short fall	(1.92)	(2.08)	N/A	(1.33)	(2.91)	(1.66)	(2.87)
Downside Deviation	1.82	1.76	N/A	2.2	2.85	1.83	2.83
Semi Variance	2.74	2.84	N/A	3.92	7.3	2.86	7.04

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.

Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Five steps to successful analysis of competition

Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.

Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Use Investing Themes to Complement your positions

You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Artificial Intelligence

Technology companies, funds, and ETFs across multiple industries that are involved in research or development in the field of reasoning, learning, natural language processing and perception as well as its application to science and commerce. This theme may also include entities involved in cybernetics and cognitive brain simulation field. The Artificial Intelligence theme has 42 constituents at this time.

You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Artificial Intelligence Theme or any other thematic opportunities.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

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